Wireless Channel Coefficient Phase Adjustment Across Transmission Slots
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Solution Overview
Problem
Existing wireless communication standards like 3G, 4G, and 5G do not guarantee phase coherence between transmission slots, leading to random phase fluctuations in channel estimates, which degrade channel estimation and prediction performance.
Innovation Solution
A method for adjusting channel coefficients by estimating and compensating for phase differences using previous correlation values, allowing longer-term phase stability and coherence over multiple slots without requiring costly hardware changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If phase coherence is not guaranteed between transmission slots, then wireless communication standards can operate with simpler hardware, but channel estimation and prediction performance deteriorate due to random phase fluctuations
Solution Approach 1:
The patent implements feedback by calculating correlation values between channel coefficients at different time instants and using this feedback to determine phase adjustment values. The receiver computes the correlation between current and previous channel estimates, feeds back the phase difference information, and the transmitter applies phase adjustments to maintain coherence without requiring complex hardware synchronization
Solution Approach 2:
The patent changes the phase parameter of channel coefficients dynamically by calculating phase adjustment values based on correlation analysis. Instead of maintaining fixed phase coherence through hardware, the system adaptively adjusts phase parameters using computational methods, transforming a hardware problem into a software-based parameter optimization problem
2Measurement precision
If phase coherence is maintained between transmission slots, then channel estimation and prediction performance improves, but hardware complexity and cost increase
Solution Approach 1:
The patent replaces mechanical/hardware-based phase coherence mechanisms with computational methods. Instead of using synchronized clocks or phase-locked loops in hardware, the system uses correlation calculations and phase adjustment algorithms to achieve the same effect, substituting physical synchronization mechanisms with mathematical processing
Solution Approach 2:
The patent introduces correlation values as an intermediary between channel estimates at different time instants. This intermediary element captures the phase relationship information and enables indirect phase coherence maintenance through computational adjustment, avoiding direct hardware synchronization
Data Source
AI summary
A method performed by a first node for adjusting channel coefficients of a wireless channel between the first node and a second node in a wireless communications network is provided. The first node obtains a calculated current correlation value between the first channel coefficients estimated in a first time instant, and the second channel coefficients estimated in a second time instant. The second time instant is subsequent to the first time instant. The first node obtains a previous correlation value calculated at a previous time instant. The first node determines a phase adjustment value based on an estimated phase difference to be applied to the estimated second channel coefficients associated with the wireless channel. The phase difference is estimated between the current correlation value and the previous correlation value.